Apna.co Job Scraper [Just 💰$0.72] — India Job Listings avatar

Apna.co Job Scraper [Just 💰$0.72] — India Job Listings

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from $0.72 / 1,000 results

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Apna.co Job Scraper [Just 💰$0.72] — India Job Listings

Apna.co Job Scraper [Just 💰$0.72] — India Job Listings

Scrape apna.co job listings across India by keyword, city or URL. Each record carries monthly INR salary, employer and address with coordinates, as structured rows ready to import into a CRM or spreadsheet. No login needed.

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from $0.72 / 1,000 results

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Black Falcon Data

Black Falcon Data

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What does Apna.co Job Scraper do?

Apna.co Job Scraper extracts structured job data from apna.co — including salary data, apply URLs, company metadata, full descriptions, location data, and skill tags. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions and company metadata) where the source provides them.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

  • 💰 Structured salary: structured salaryMin, salaryMax and salaryCurrency on every job.
  • 🏢 Employer details: company, companyLogo and industry name the employer behind each job.
  • 💼 Employment type and work mode: employmentType as fields, so you can filter jobs without reading the text.
  • 📍 Coordinates: latitude and longitude on each job that has a location, ready for a map.
  • 🏘️ Address: city, state and address as separate fields for every job that lists them.
  • 📇 Contact details: contactEmail where the job publishes them.
  • 🔍 Keyword search: search apna.co by keyword with the query input, in the place you name in location.
  • 🧭 Radius search: search around a point with lat, lon and radiusKm.
  • 🔗 Paste-mode: paste apna.co URLs into startUrls to scrape exactly the pages you picked in the browser.
  • ♻️ Incremental mode: recurring runs emit only NEW / UPDATED / REAPPEARED records — UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new jobs" alerts to your hiring team. Saves 80–95% on daily monitoring.
  • 🔔 Notifications: Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + notifyOnlyChanges for daily "new Apna jobs" pings to your hiring channel.

What data can you extract from apna.co?

Each result includes Core job fields (id, url, title, department, category, city, state, and area, and more), detail fields when enrichment is enabled (role, searchRole, description, descriptionMarkdown, and detailFetched), apply information (externalApplyUrl and directApply), and company metadata (company, companyId, companyExternalId, and companyLogo). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Detail enrichment is on by default and adds richer fields such as full descriptions and company metadata where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

  • query — Job title, role or skill to search for (e.g. "delivery boy", "telecaller", "accountant"). To browse the whole job feed instead, leave it empty and tick Browse All Jobs, or set a city or category filter. Use a JSON array for several searches in one run.
  • location — Optional. Keep only jobs in this Indian city, state or area (e.g. "Hyderabad", "Maharashtra", "Noida"). Matched against the city, state and area of each job. Use a JSON array for several locations.
  • browseAll — Browse the whole apna.co job feed instead of searching for a term. Combine with city, category or date filters to narrow it. Also used when the search term is left empty and a city or category filter is set. (default: false)
  • cities — Optional. Keep only jobs in these cities (common names like Bangalore, Gurgaon or Delhi are matched to apna's spelling). Combined with City / State. (default: [])
  • categories — Optional. Keep only jobs whose apna category, department, role or listing tag matches any value, e.g. "delivery-driver-logistics", "Accounts / Finance", "telecaller", "work-from-home", "10th-pass". Leave empty for every category. (default: [])
  • jobTypes — Optional. Keep only jobs whose job type or work mode matches any value, e.g. "Full Time", "Part Time", "Work from Home", "Field Job". (default: [])
  • educationLevels — Optional. Keep only jobs whose education requirement matches any value, e.g. "10th Pass", "Graduate". (default: [])
  • shifts — Optional. Keep only jobs whose shift matches any value, e.g. "Day Shift", "Night Shift". (default: [])
  • dateWithinDays — Keep only jobs posted within this many days (e.g. 1 for a daily feed). 0 = no date filter. Jobs without a published posting date are dropped when this is set. (default: 0)
  • maxResults — Maximum total results (0 = unlimited). (default: 100)
  • startUrls — Paste raw search URLs from the target site. Each URL becomes its own search task; results are merged and deduped by job ID across all URLs. When provided, startUrls REPLACE the query/location fields (each supported URL becomes one task; unsupported URLs are skipped, and if none is supported the run stops with an input error). (default: [])
  • includeDetails — Fetch full job details. (default: true)
  • ...and 27 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
"query": "delivery boy",
"maxResults": 50
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
"query": "delivery boy",
"maxResults": 200,
"incrementalMode": true,
"stateKey": "delivery-boy-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
"query": "delivery boy",
"maxResults": 50,
"compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
"id": 492257722,
"url": "https://apna.co/job/ahmedabad/delivery-boy-492257722",
"title": "Delivery Boy",
"company": "Swiggy",
"companyId": 1744170,
"city": "Ahmedabad",
"state": "Gujarat",
"area": "Vijay Chowk",
"locationText": "Bapunagar, Ahmedabad",
"address": "Bapunagar, Ahmedabad, Gujarat, India",
"workMode": "field",
"employmentType": "Part Time",
"shift": "day",
"salaryMin": 35000,
"salaryMax": 45000,
"salaryCurrency": "INR",
"salaryPeriod": "monthly",
"salaryText": "₹35,000 - ₹45,000",
"earningPotential": 45000,
"incentives": false,
"experienceMinYears": 0,
"experienceMaxYears": 31,
"education": "10th or Below 10th",
"englishLevel": "No English Required",
"openings": 10,
"tags": [
"Field Job",
"Part Time",
"Full Time",
"Any experience"
],
"jobHighlights": [
"Fast HR reply"
],
"isPartTime": true,
"isWorkFromHome": false,
"isExternalJob": false,
"updatedAt": "2025-06-21T04:30:02.000Z",
"requiresEnglish": false,
"nightShift": false,
"directApply": true,
"salaryUnit": "MONTH",
"salaryAnnualMinLpa": 4.2,
"salaryAnnualMaxLpa": 5.4,
"experienceMonths": 0,
"workFromHome": false,
"searchRole": "delivery boy",
"searchTerm": "delivery boy",
"scrapedAt": "2026-10-31T20:11:33.270Z",
"portalUrl": "https://apna.co/job/ahmedabad/delivery-boy-492257722",
"jobId": "dc2469c1ee256e236ea4a058d6bdfcc28bd1339de27a177bfb7dbdbc66d21465",
"searchQuery": "delivery boy",
"contentQuality": "serp_only",
"detailFetched": false,
"source": "apna.co"
}

Incremental fields

When incremental mode is on, each record also carries:

  • changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
  • isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape apna.co

  1. Go to Apna.co Job Scraper in Apify Console.
  2. Enter a search keyword and optional location filter.
  3. Set maxResults to control how many results you need.
  4. Keep includeDetails on (the default) for full descriptions, company data, or turn it off for faster, cheaper runs.
  5. Click Start and wait for the run to finish.
  6. Export the dataset as JSON, CSV, or Excel.

Use cases

  • Extract job data from apna.co for market research and competitive analysis.
  • Track salary trends across regions and categories over time.
  • Monitor new and changed jobs on scheduled runs without processing the full dataset every time.
  • Auto-apply or feed apply URLs into your ATS / hiring pipeline.
  • Research company hiring patterns, employer profiles, and industry distribution.
  • Use structured location data for regional analysis, mapping, and geo-targeting.
  • Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
  • Export clean, structured data to dashboards, spreadsheets, or data warehouses.
  • Analyze skill demand across listings using structured skill tags.

How much does it cost to scrape apna.co?

Apna.co Job Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

  • Run start: $0.0045 per run
  • Per result: $0.00072 per job record

Example costs:

  • 10 results: $0.012
  • 25 results: $0.023
  • 100 results: $0.077
  • 200 results: $0.15
  • 500 results: $0.36

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of jobs that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 jobs per run, daily polling (30 runs/month). Costs scale linearly with the number of jobs.

Churn rateFull re-scrape run costIncremental run costSavings vs full re-scrapeMonthly cost after baseline
5% — stable niche query$0.18$0.01$0.17 (93%)$0.41
15% — moderate broad query$0.18$0.03$0.15 (83%)$0.95
30% — high-volume aggregator$0.18$0.06$0.13 (68%)$1.76

Full re-scrape monthly cost at the same cadence: $5.54. First month with incremental costs $0.58 / $1.10 / $1.88 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from apna.co?

The number of results depends on the search query and available jobs on apna.co. Use the maxResults parameter to control how many results are returned per run.

Does Apna.co Job Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed jobs on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Apna.co Job Scraper with other apps?

Yes. Apna.co Job Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Apna.co Job Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Apna.co Job Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

This actor extracts publicly available data from apna.co. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

  1. Sign up — $5 platform credit included
  2. Open this actor and configure your input
  3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on apna.co. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Apna.co's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Apna.co or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

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